May a correlation exist between age and biochemıcal parameters in Covid-19 patients?

Background: Covid-19 infectious disease becomes a pandemic and later affects the entire world it has various effects in different age groups. Aims and Objective: In our study, we aimed to investigate the distribution of biochemical tests along with age, and the incidence in different age groups under the age of 65 and over the age of 65. Materials and Methods: We planned a retrospective study. Our patients consist of 2 groups. The first group consists of 54 patients aged 18 to 65 years, and the second group consists of 38 patients aged 65 years andolder. Previously analyzed biochemical parameter values (such as lymphocyte, neutrophil, hemoglobin, platelet, CRP, LDH, AST, ALT, D-dimer, BUN, creatinine) of all patients followed up in our hospital were reached retrospectively through the hospital database. Results: There was a strong negative correlation between Alb and CRP, D-Dimer and albumin, neutrophil and albumin in patients under 65 years of age. A positive correlation was observed between other parameters. Negative moderate correlations were found between albumin and CRP, Potassium and age, WBC and albumin, hemoglobin and creatinine, hemoglobin and LDH, platelets and hemoglobin, lymphocytes and age, lymphocytes and prothrombin time, lymphocytes and D-Dimer, neutrophils and albumin, fibrinogen and creatine kinase, erythrocyte sedimentation rate and AST, erythrocyte sedimentation rate and ALT, erythrocyte sedimentation rate and hemoglobin in patients over 65 years of age. Positive correlations were detected between other parameters. Conclusion: ALT, creatinine, CRP, LDH, D-Dimer, WBC, neutrophil, erythrocyte sedimentation rate was significantly higher in patients over 65 years of age than in patients under 65 years of age. Platelet, lymphocytes were statistically significantly higher in patients under 65 than in patients over 65.

Download Full-text

IVIG Effects on Erythrocyte Sedimentation Rate in Children

International Journal of Pediatrics ◽

10.1155/2014/981465 ◽

2014 ◽

Vol 2014 ◽

pp. 1-4 ◽

Cited By ~ 5

Author(s):

Farhad Salehzadeh ◽

Ahmadvand Noshin ◽

Sepideh Jahangiri

Keyword(s):

Erythrocyte Sedimentation Rate ◽

Sedimentation Rate ◽

Age Groups ◽

The Body ◽

Response To Treatment ◽

Erythrocyte Sedimentation ◽

Neonatal Group ◽

The Mean ◽

Laboratory Tool ◽

To Receive

Background. Erythrocyte sedimentation rate (ESR) is a valuable laboratory tool in evaluation of infectious, inflammatory, and malignant diseases. Red blood cells in outside from the body precipitate due to their higher density than the plasma. In this study we discuss the IVIG effect on ESR in different diseases and different ages.Methods and Materials. Fifty patients under 12 years old who had indication to receive IVIG enrolled in this study. Total dose of IVIG was 2 gr/kg (400 mg/kg in five days or 2 gr/kg in single dose). ESR before infusion of IVIG and within 24 hours after administration of the last dose of IVIG was checked.Results. 23 (46%) patients were males and 27 (54%) were females. The mean of ESR before IVIG was31.8±29.04and after IVIG it was47.2±36.9; this difference was meaningful(P=0.05). Results of ESR changes in different age groups, 6 patients less than 28 days, 13 patients from 1 month to 1 year, 20 patients from 1 to 6 years old, and 11 patients from 6 to 12 years have been meaningful (P=0.001,P=0.025, andP=0.006, resp.).Conclusion. In patients who are receiving IVIG as a therapy, ESR increased falsely (noninflammatory rising); therefore use of ESR for monitoring of response to treatment may be unreliable. Although these results do not apply to neonatal group, we suggest that, in patients who received IVIG, interpretation of ESR should be used cautiously on followup.

Download Full-text

258. D-Dimer, Erythrocyte Sedimentation Rate, and C-Reactive Protein Sensitivity for PJI Diagnosis

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.460 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S235-S235

Author(s):

Ayden Case ◽

Lefko T Charalambous ◽

Trevor Bowman ◽

Ian Duensing ◽

Edward Hendershot ◽

...

Keyword(s):

Erythrocyte Sedimentation Rate ◽

Sedimentation Rate ◽

Board Member ◽

C Reactive Protein ◽

Research Support ◽

Educational Support ◽

Material Support ◽

Reactive Protein ◽

Erythrocyte Sedimentation ◽

D Dimer

Abstract Background Consensus criteria for the diagnosis of acute PJI now include D-dimer. Additionally, Erythrocyte Sedimentation Rate (ESR) is of questionable use in the diagnosis of acute PJI. There is scarce and contradicting evidence on the diagnostic value for these biomarkers, and further studies on larger cohorts are needed for validation. We sought to quantify the sensitivities of D-dimer and ESR compared to C-Reactive Protein (CRP) in the diagnosis of acute PJI at a tertiary referral center. Sensitivity Table for D-Dimer and ESR Methods An institutional database was queried for patients undergoing revision procedures for PJI after total hip arthroplasty (THA) and total knee arthroplasty (TKA) from 2014 to present. Patients were included if they had a PJI diagnosis code with subsequent revision procedure CPT codes and PICC line placement within 21 days of revision surgery. Patients with inflammatory arthropathies were excluded. Diagnostic labs, including CRP, ESR, and D-dimer, were collected within 90 days pre- and post-operatively and sensitivities for the diagnosis of PJI were calculated. Cutoff values included CRP >1 mg/dL, ESR >30 mm/hr and >50 mm/hr, and D-dimer >860 ng/mL. Results In total, 961 PJI patients were identified. Of those, 904 had ESR and CRP values collected, and 123 had ESR, CRP, and D-dimer collected. In the cohort of patients with ESR and CRP, 603 patients had elevated CRP, 554 had ESR >30 mm/hr, and 379 had ESR >50 mm/hr, corresponding to sensitivities of 66.7%, 61.3%, and 41.9%, respectively. In the cohort of patients with all three biomarkers, 113 had an elevated D-dimer, corresponding to a sensitivity of 91.9%. Conclusion In this cohort, CRP and ESR were of comparable sensitivity in diagnosing PJI. D-dimer was the most sensitive, but further pooled studies are needed to confirm this. Providers should continue to use this information in the context of other data and MSIS criteria to inform decision-making. Disclosures Thorsten Seyler, MD/PhD, Depuy Synthes (Other Financial or Material Support, Resident Educational Support)Extrel Therapeutics (Board Member, Shareholder)Heraeus Medical (Consultant)MiCare Path (Board Member, Shareholder)OREF (Grant/Research Support)Pattern health (Board Member)Restor3D (Other Financial or Material Support, Royalties)Smith+Nephew, Inc. (Grant/Research Support, Speaker’s Bureau)Stryker (Other Financial or Material Support, Resident Educational Support)Total Joint Orthopedics, Inc. (Consultant)Wolters Kluwer Health (Other Financial or Material Support, Royalties)Zimmer Biomet (Grant/Research Support) William Jiranek, MD, Depuy Synthes (Other Financial or Material Support, Royalty/Licensing)

Download Full-text

MATHEMATICAL MODEL TO PREDICT SEVERITY OF CORONAVIRUS INFECTION AND MAIN ANTI-EPIDEMIC MEASURES IN UKRAINE

International Medical Journal ◽

10.37436/2308-5274-2020-2-12 ◽

2020 ◽

pp. 57-65

Author(s):

K. A. Kryvonos ◽

V. S. Maslova ◽

V. M. Sharapov ◽

S. M. Vorobyov

Keyword(s):

Mathematical Model ◽

Platelet Count ◽

Elderly Patients ◽

Erythrocyte Sedimentation Rate ◽

Sedimentation Rate ◽

Regression Equations ◽

Middle Aged ◽

Erythrocyte Sedimentation ◽

Coronavirus Infection ◽

D Dimer

Currently, the epidemic situation regarding the incidence of coronavirus infection COVID−19 in Ukraine continues to be tense. In order to in−depth study of the problem of clinical features, treatment and prevention of this disease, as well as the development of a mathematical model for predicting the severity of its course, 30 patients aged 18 to 85 years were examined. Among the patients there were young and middle−aged people as well as elderly patients with chronic diseases, namely obesity, hypertension, diabetes. The diagnosis of coronavirus infection was confirmed in all the patients by molecular genetic method, i.e. SARS−CoV−2 RNA was isolated, and in 10 patients − IgM + IgG to SARS was determined by immunochromatographic analysis. With COVID−19, young and middle−aged patients have a fairly mild course with a decrease in platelet count by 7 %, erythrocyte sedimentation rate by 48 %, prothrombin by 14 % and D−dimer by 31 %. The construction of regression equations based on trend lines revealed that in elderly patients after treatment there was a further decrease in the level of D−dimer (20 %), an increase in platelet count (30 %), a decrease in white blood cell count (26 %), neutrophils (38 %), increase in lymphocyte levels by 3 times, decrease in erythrocyte sedimentation rate (by 10 %) and prothrombin parameters (by 15 %). Based on cluster and regression analysis, coefficients were calculated for each prognostic function. It was found that the linear dependence and statistically significant effect on the course of COVID−19 in all patients have leukocytes, erythrocyte sedimentation rate and D−dimer. In order to prevent the spread of coronavirus infection in Ukraine COVID−19 in this March, quarantine was introduced throughout the country, which is being extended to this day. There is no doubt about the importance of recommendations for improving anti−epidemic measures to prevent coronavirus infection throughout Ukraine. Key words: coronavirus infection, COVID−19, clinical blood counts, disease prognosis, anti−epidemic measures in Ukraine.

Download Full-text